271. robust-ts: Robust Time Series- &quot;robust-ts&quot; is a collaborative project to provide robustifications to the basic time series procedures from package stats. A target will be chapter 8 in &quot;Robust Statistics, Theory and Methods&quot; by Maronna, Martin and Yohai; 2006.

272. shikken: interface to the shogun-toolbox- A wrapper to the shogun-toolbox, a large-scale machine learning library, which makes its functionality available to the R journeyman in an idiomatic manner.

275. RobKalman- Package robKalman implements several robustifications of rhe classical Kalman filter; a common filtering iterface for all robustifications is provided as well as S4-classes for state space models and filtering results.

276. Open Perimeter Interface (OPI)- The OPI is a standard for interfacing with visual field testing machines (perimeters). There are implementations for the Octopus 900, Heidelberg Edge Perimeter, and simulators for white-on-white perimetry.

277. fingerprint- Read and handle molecular fingerprint data generated by various cheminformatics tools. The package reads in a variety of formats and implements multiple similarity and dissimilarity metrics.

278. march- march is a package dedicated to the computation of different Markovian models for categorical data (Homogeneous Markov chains, MTD model, HMM, DCMM). Weights are allowed, so march is able to work with survey data.

279. Circular Statistics- This is the circular package build over the R port of the CircStats package by Ulric Lund from 'Topics in circular Statistics' (2001) S. Rao Jammalamadaka and A. SenGupta, World Scientific.